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Forest Health & Stress Monitoring
We enable early detection of forest degradation by deploying the Farsight™ UAV System for regular, high-resolution multispectral surveys. Data is analyzed on our Swift4D platform to identify subtle changes in vegetation indices, providing timely alerts for pest outbreaks, drought stress, and nutrient deficiencies. This supports proactive intervention, loss mitigation, and long-term ecosystem resilience management.
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Proactive Forest Fire Detection & Operational Monitoring
We deliver rapid wildfire intelligence by integrating near-real-time satellite data with our Farsight™ UAV System for targeted hotspot verification and perimeter mapping. Data is processed on our Swift4D analytics platform for active fire detection, spread modeling, and burn scar assessment. This enables optimized emergency response, including evacuation route planning and resource deployment, supporting firefighting coordination and post-fire recovery.
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Canopy Structure Analysis & Biomass Estimation
We provide detailed 3D forest structure analysis using LiDAR data from our AIMS Multi-Modal Aerial Survey System and Farsight™ UAV System, calculating key metrics like Canopy Bulk Density (CBD) and Canopy Base Height (CBH) for fire behavior modeling. This enables precise above-ground biomass and carbon stock estimation, delivering essential data for sustainable forest inventory, health assessment, and growth trend monitoring.
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AI-Driven Tree Species Classification & Biodiversity Mapping
We achieve high-accuracy species identification by combining very high-resolution imagery from satellites and our Farsight™ UAV System. Our Swift4D platform employs advanced machine learning algorithms to analyze spectral and textural signatures, creating detailed species distribution maps for biodiversity conservation, invasive species management, and precision silviculture.
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